EU-27: SMP production
This page contains the European Skimmed milk powder (SMP) production data, both in tables and charts.
The table offers as well the possibility to:
- consult the monthly volumes and changes, by clicking on the years in the column headers,
- access to the DairySheets by clicking on the names of the Member States of the EU.
The charts display:
- a breakdown of the Skimmed milk powder (SMP) production by Member States
- the monthly and average daily Skimmed milk powder (SMP) production,
- the year-over-year changes of Skimmed milk powder (SMP) production in the major EU Players,
- the yearly Skimmed milk powder (SMP) production of the last seven years,
- the Skimmed milk powder (SMP) production with rolling year
The balance sheet of Skimmed milk powder (SMP) completes the information.
From the Eurostat Handbook: definition of "Skimmed-milk powder"
Milk powder with a maximum milk fat content of 1,5 % by weight of the product.
| UE-27: Production of Skimmed milk powder (SMP) (Tons) | ||||||||||||||
| COUNTRY | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2025 | 2026 | Var % | Period | ||||
| Austria | 8.870 | 4.980 | 5.450 | 5.240 | 5.690 | 5.180 | 2.070 | 2.900 | +40,1% | Jan - May '26 | ||||
| Belgium | 155.000 | 154.820 | 196.970 | 181.750 | 172.390 | 179.610 | 82.280 | 82.020 | -0,3% | Jan - May '26 | ||||
| Bulgaria | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - May '26 | ||||
| Croatia | 0 | 0 | 0 | 0 | 0 | (c) | (c) | (c) | - | Jan - May '26 | ||||
| Cyprus | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Apr '26 | ||||
| Czech Republic | 19.930 | 18.210 | 17.120 | 16.620 | 14.110 | 12.730 | 5.450 | 4.820(e) | -11,6% | Jan - May '26 | ||||
| Denmark | 50.700 | 41.200 | 38.500 | 31.300 | 33.300 | 36.500 | 9.600 | 16.100 | +67,7% | Jan - Apr '26 | ||||
| Estonia | 0 | 0 | 0 | 0 | 0 | (c) | (c) | 0 | - | Jan - Mar '26 | ||||
| Finland | 0 | 0 | 0 | 0 | 0 | (c) | (c) | (c) | - | Jan - May '26 | ||||
| France | 408.830 | 403.710 | 380.270 | 371.260 | 377.040 | 396.410 | 171.700 | 187.330 | +9,1% | Jan - May '26 | ||||
| Germany | 416.505 | 352.798 | 351.512 | 347.215 | 328.693 | 377.570 | 161.877 | 182.964(e) | +13,0% | Jan - May '26 | ||||
| Greece | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Apr '26 | ||||
| Hungary | 0 | 0 | 0 | 0 | 0 | (c) | (c) | (c) | - | Jan - May '26 | ||||
| Ireland | 132.510 | 133.480 | 157.140 | 143.750 | 121.320 | 157.280(i) | 61.550 | 45.390 | - | Jan - May '26 | ||||
| Italy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - Apr '26 | ||||
| Latvia | 0 | 0 | 0 | 0 | 0 | (c) | (c) | 0 | - | Jan - Mar '26 | ||||
| Lithuania | 18.720 | 6.200 | 17.830 | 16.450 | 10.960 | 14.770(i) | 5.850 | 10.940 | - | Jan - May '26 | ||||
| Luxembourg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0(e) | - | - | ||||
| Malta | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - | Jan - May '26 | ||||
| Netherlands | 70.500 | 91.000 | 106.000 | 73.200 | (c) | (c) | (c) | (c) | - | Jan - Apr '26 | ||||
| Poland | 165.030 | 153.160 | 151.410 | 148.744 | 167.390 | 158.190 | 71.580 | 87.310 | +22,0% | Jan - May '26 | ||||
| Portugal | 24.630 | 24.840 | 16.730 | 21.510 | 23.450 | 17.420 | 8.380 | 11.000 | +31,3% | Jan - May '26 | ||||
| Romania | 630 | 1.310 | 1.460 | 170 | 0 | (c) | (c) | (c) | - | Jan - May '26 | ||||
| Slovakia | 3.350 | 3.120 | 1.360 | 0 | 680 | 260(i) | 260 | (c) | - | Jan - May '26 | ||||
| Slovenia | 0 | 0 | 0 | 0 | 0 | (c) | (c) | 0 | - | Jan - Mar '26 | ||||
| Spain | 22.520 | 11.130 | 5.930 | 4.680 | 3.710 | 5.170 | 2.510 | 2.620 | +4,4% | Jan - May '26 | ||||
| Sweden | 36.420 | 36.650 | 37.090 | 36.400 | 35.620 | 37.850 | 15.750 | 15.720 | -0,2% | Jan - May '26 | ||||
| TOTAL EU-27 | 1.378.935 | 1.292.498 | 1.306.982 | 1.237.919 | 1.161.393 | 1.226.630 | 303.062 | 357.728 (e) | +18,0% | Jan - Mar '26 | ||||
| y-o-y % | -6,3% | +1,1% | -5,3% | -6,2% | +5,6% | |||||||||
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(e) estimated data (i) incomplete data (c) confidential data NOTE:The countries highlighted in yellow indicate the presence of some confidential data which are not considered in the total calculation of productions. Source: Eurostat, BLE, Stimato CLAL |
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Rolling year: for each month the chart visualizes the production in that month plus the production of the previous 11 months. With this method is always considered the total production in a time window of 12 months, so it is possible to identify the trend without the effect of seasonality.
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